Almost-s-Hurewicz ditopological texture spaces

Hafiz Ullah,Moiz ud Din Khan 원광대학교 기초자연과학연구소 2020 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.20 No.1

In this study the notion of almost-s-Hurewicz property in ditopological texture spaces is introduced thoroughly. We study the interrelation between Hurewicz, s-Hurewicz and almost-s-Hurewicz spaces. Also we give some characterizations in terms of regular open sets and various continuous mappings. Some properties of almost-s-compactness and almost-s-stability in setting of ditopological texture spaces are discussed.

Drone-as-a-Service (DaaS) for COVID-19 self-testing kits delivery in smart healthcare setups: A technological perspective

Hafiz Suliman Munawar,Junaid Akram,Sara Imran Khan,Fahim Ullah,Bong Jun Choi 한국통신학회 2023 ICT Express Vol.9 No.4

Drones have gained increasing attention in the healthcare industry for mobility and accessibility to remote areas. This perspective-based study proposes a drone-based sample collection system whereby COVID-19 self-testing kits are delivered to and collected from potential patients. This is achieved using the drone as a service (DaaS). A mobile application is also proposed to depict drone navigation and destination location to help ease the process. Through this app, the patient could contact the hospital and give details about their medical condition and the type of emergency. A hypothetical case study for Geelong, Australia, was carried out, and the drone path was optimized using the Artificial Bee Colony (ABC) algorithm. The proposed method aims to reduce person-to-person contact, aid the patient at their home, and deliver any medicine, including first aid kits, to support the patients until further assistance is provided. Artificial intelligence and machine learning-based algorithms coupled with drones will provide state-of-the-art healthcare systems technology.

Statistical Estimates from Black Non-Hispanic Female Breast Cancer Data

Khan, Hafiz Mohammad Rafiqullah,Ibrahimou, Boubakari,Saxena, Anshul,Gabbidon, Kemesha,Abdool-Ghany, Faheema,Ramamoorthy, Venkataraghavan,Ullah, Duff,Stewart, Tiffanie Shauna-Jeanne Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.

Real-time monitoring of liver fibrosis through embedded sensors in a microphysiological system

FAROOQI HAFIZ MUHAMMAD UMER,Kang Bohye,Khalid Muhammad Asad Ullah,Salih Abdul Rahim Chethikkattuveli,Hyun Kinam,박성혁,Huh Dongeun,최경현 나노기술연구협의회 2021 Nano Convergence Vol.8 No.3

Hepatic fibrosis is a foreshadowing of future adverse events like liver cirrhosis, liver failure, and cancer. Hepatic stellate cell activation is the main event of liver fibrosis, which results in excessive extracellular matrix deposition and hepatic parenchyma's disintegration. Several biochemical and molecular assays have been introduced for in vitro study of the hepatic fibrosis progression. However, they do not forecast real-time events happening to the in vitro models. Trans-epithelial electrical resistance (TEER) is used in cell culture science to measure cell monolayer barrier integrity. Herein, we explored TEER measurement's utility for monitoring fibrosis development in a dynamic cell culture microphysiological system. Immortal HepG2 cells and fibroblasts were co-cultured, and transforming growth factor β1 (TGF-β1) was used as a fibrosis stimulus to create a liver fibrosis-on-chip model. A glass chip-based embedded TEER and reactive oxygen species (ROS) sensors were employed to gauge the effect of TGF-β1 within the microphysiological system, which promotes a positive feedback response in fibrosis development. Furthermore, albumin, Urea, CYP450 measurements, and immunofluorescent microscopy were performed to correlate the following data with embedded sensors responses. We found that chip embedded electrochemical sensors could be used as a potential substitute for conventional end-point assays for studying fibrosis in microphysiological systems.

Chlorodifluoromethane (R22) Gas and Its Mixtures with CO2/N2/Air as an Alternative to SF6

Saleem Muhammad Zaheer,Kamran Muhammad,Amin Salman,Ullah Rahmat,Abbas Kharal Hafiz Shafqat,Nasimullah,Muhammad Fazal,Rahman Taqi ur 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.3

SF 6 has been extensively deployed in high voltage gas insulated equipment to be used as a dielectric medium since 1960 because of its excellent dielectric strength and arc interruption performance. This research proposes promising substitute of SF 6 , by investigating a refrigerant gas such as Chlorodifl uoromethane (CHClF 2 ) with a mixture of CO 2 /N 2 /Air to mitigate environmental hazards of SF 6 . R 22 has less atmospheric life and low cost as compared to SF 6 . It has less GWP (1,810) as compared to SF 6 (23,900). In this research, the AC and DC breakdown properties of R 22 mixtures along with varying ratios of CO 2 , N 2, and Air were investigated. The best alternative to SF 6 has been found to be a mixture of R 22 + N 2 which is close to 81% of SF 6 dielectric strength. The dielectric strength of diff erent optimal mixtures was found in the order of SF 6 > R 22 + N 2 > R 22 + Air > R 22 + CO 2 under AC voltage at 0.4 MPa. Moreover, the boiling point and GWP were further reduced by adding the buff er gases such as N 2, , CO 2 , and Air. R 22 also has acceptable insulation self-recoverability and liquefaction temperature. The results of this study are promising in terms of low cost and environment-friendly alternative to SF 6 .

Microencapsulation of microbial antioxidants from Mucor circinelloides, their physico-chemical characterization, in vitro digestion and releasing behaviors in food

Hameed Ahsan,Hussain Syed Ammar,Nosheen Shaista,Muhammad Zafarullah,Wu Yang,Ullah Samee,Suleria Hafiz Ansar Rasul,Song Yuanda 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.3

This study aimed at increasing the stability of heat-labile and pH-sensitive microbial antioxidants by the microencapsulation. Microbial antioxidants from Mucor circinelloides were microencapsulated. The physico-chemical and powder flowing properties of resulting microcapsules were evaluated. The initial safety studies were evaluated by in vivo acute oral toxicity tests. The bio-accessibility of powders vs. extracts was analyzed in in vitro digestion models with further application of microcapsules to model food system. Physico-chemical properties were significantly different (p < 0.0001) for all microcapsules regardless of their non-substantial variations (p > 0.05) in powder flowing properties. The microencapsulation of extract with 5% whey protein hydrogels (WPHG) + 5% pectin ( TA) showed higher retain-ability of polyphenols accompanying low degradation in gastric and intestinal digestion and with no major toxicity signs. The addition of TA microcapsule did not produce any nutritional, physico-chemical, compositional, and nutritional distinctions in cheese. Microencapsulation proved to be appropriate approach for not only protecting the thermo-labile and pH-sensitive microbial antioxidants but also for enhanced bioavailability, and targeted release of bioactive extracts.